Scientific posters of the Projects

The scientific posters of the Challenges 1 & 2 projects, presented at the Final held on January 20, 2018, are gathered on this page.

Challenge 1: See cancers (June 6th - December 5th, 2017)

Visualization challengeConstructing a Data-Visualization of the incidence of cancers by exposing the epidemiological factors associated with their dynamics.

The challenge consists in developing data visualization tools aimed at the general public and the medico-scientific community at large. Particular attention should be given to design with regard to user experience. These tools will have to integrate the variables and results of the prediction challenge, highlighting the dynamic changes in time and space of potential risk factors.

Challenge 2: Foresee cancers (June 6th - December 5th, 2017)

Prediction challenge (the incidence of cancers)Developing a predictive tool for the progression of cancer in time and space,depending on the known or supposed factors that determine its evolution.

The challenge consists in developing of a predictive tool for the incidence of cancers.

The Training set will be composed of the data covering the period from 1950 to 2003.The validation set will be composed of the data covering the period from 2003 to 2007. Note that the data from 2007 to 2012 in the process of being obtained and will be Integrated into the validation set.
This challenge is divided into two distinct parts:

Prediction in the world

Prediction by country

The winning team will be the one whose prediction will be the most efficient on the validation set. A leaderboard will be set up with real-time updating.

Aim: provide insight on the most efficient measures to reduce cancer impact on people in order to identify optimal levers to implement in a public health perspective.Associated skills: R, Data cleaning, Data preparation, Machine learning, Statistic, Anthropology, Economy, Communication/Information, Rules of Professional Responsibility and Ethical Obligations.